{"id":"W4389205759","doi":"10.22215/etd/2023-15790","title":"Synthetic Ultrasound Video Generation with Generative Adversarial Networks","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Computer science; Modality (human–computer interaction); Generative grammar; Artificial intelligence; Machine learning; Generative adversarial network; Task (project management); Deep learning; Adversarial system; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267578,0.001041338,0.0005140278,0.0005408401,0.0002157418,0.0006529385,0.001047344,0.001016854,0.002315826],"category_scores_gemma":[0.00463841,0.0003884583,0.0006728111,0.0003672083,0.0008073401,0.0006599969,0.001197489,0.001645814,0.0005246996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007627364,"about_ca_system_score_gemma":0.0004348168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675084,"about_ca_topic_score_gemma":0.002429554,"domain_scores_codex":[0.999571,0.0001730617,0.00001345418,0.00009790863,0.0001043693,0.00004017231],"domain_scores_gemma":[0.9980902,0.001377726,0.0001194726,0.0001590491,0.0001927257,0.00006084119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008144054,0.00003217093,0.0003964826,0.00003497624,0.00001848221,0.00006976935,0.00002429061,0.9680608,0.002028752,0.003930801,0.001402923,0.02391911],"study_design_scores_gemma":[0.000003843727,0.00001191999,0.00004603531,0.000003769231,0.000001854904,0.00001498515,0.000002671524,0.9974002,0.0008069296,0.001466111,0.0002386244,0.000003126895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04908714,0.0005788903,0.9437328,0.0006127235,0.0001901548,0.0001865818,0.0005016657,0.001048674,0.004061319],"genre_scores_gemma":[0.8154463,0.0004529038,0.1739901,0.0004552246,0.0001269477,0.0003360935,0.001981908,0.0002574485,0.006953163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002675084,"threshold_uncertainty_score":0.007747173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403900800246465,"score_gpt":0.231611788831633,"score_spread":0.2175727808291684,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}